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Machine learning prediction of oncology drug targets based on protein and network properties

2020-03-04

Abstract excerpt

<title>Abstract</title> <p>Background The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make in-silico target identification, reducing the cost and the time needed. Results We developed a machine learning approach to score proteins to generate a druggability score of...

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Literature Corpus work
8a03091b-d93d-5bfb-a6c6-6051b07ec41f
DOI
10.21203/rs.2.15798/v3
Open publication

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Machine learning prediction of oncology drug targets based on protein and network propertiesDOI 10.21203/rs.2.15798/v3
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